2. DevOps & Infrastructure

Monitors and analyzes application error rates, including HTTP errors, exceptions, and database issues, to enhance system reliability and performance.

Defines and tracks SLAs, SLIs, and SLOs to monitor service performance and ensure reliability targets are met.

Sets up observability for CodeRabbit integrations with metrics, traces, and alerting to monitor system health and performance.

Guides teams through Supabase incident response, including triage, mitigation, and postmortem for outages and integration failures.

Automates configuration of Google Cloud Storage (GCS) buckets within Google Cloud Platform (GCP) environments.

Distributes API requests across multiple OpenRouter configurations for scaling and geographic distribution, optimizing performance and reliability.

Generates production-ready Infrastructure as Code (IaC) configurations for cloud platforms using Terraform, CloudFormation, and Pulumi.

Automates Clay integration deployment and rollback checklists for production environments, ensuring reliable go-live procedures.

Aggregates performance metrics from applications, systems, and services into a central location for monitoring and analysis.

Provides introductory guidance and operations for Jenkins pipelines, a fundamental CI/CD automation tool in DevOps workflows.

Provides load testing, auto-scaling configuration, and capacity planning for Clay integrations using k6.

Automates Terraform module creation for infrastructure as code, streamlining cloud resource provisioning and management.

Manages environment variable configuration using dotenv, streamlining development and deployment setup for applications.

AI-assisted generation and maintenance of GitHub Actions for CI/CD pipelines, streamlining workflow automation.

Executes Vast.ai production deployment and rollback checklists for seamless integration launches and go-live procedures.

Automates AWS Route53 DNS record management, enabling seamless domain configuration and DNS operations within cloud infrastructure.

Deploys production-ready monitoring stacks including Prometheus, Grafana, and Datadog with infrastructure best practices for system observability.

Automates API health monitoring to verify uptime, performance, and reliability for seamless integration workflows.

Automates distributed tracing setup for microservices, enabling end-to-end request visibility through context propagation and trace analysis.

Creates and manages Google Cloud Scheduler jobs for automated task execution in cloud environments.

Configures Ideogram testing within GitHub Actions CI/CD pipelines for automated testing and build integration.

Accesses essential Linux command references to streamline DevOps system administration and infrastructure operations.

Automates optimal Amazon DynamoDB table structure design with partition keys and indexes for efficient cloud database performance.

Automates CI/CD pipeline orchestration and deployment processes with step-by-step guidance for seamless application releases.